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bert-30
This model is a fine-tuned version of deepset/bert-base-cased-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 11.4865
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 11.2225 | 0.18 | 5 | 12.3054 |
| 10.9594 | 0.36 | 10 | 12.2315 |
| 11.0948 | 0.54 | 15 | 12.1603 |
| 10.8444 | 0.71 | 20 | 12.0935 |
| 10.7294 | 0.89 | 25 | 12.0294 |
| 10.5432 | 1.07 | 30 | 11.9697 |
| 10.71 | 1.25 | 35 | 11.9133 |
| 10.5919 | 1.43 | 40 | 11.8601 |
| 10.5393 | 1.61 | 45 | 11.8109 |
| 10.562 | 1.79 | 50 | 11.7650 |
| 10.6558 | 1.96 | 55 | 11.7222 |
| 10.4995 | 2.14 | 60 | 11.6835 |
| 10.3046 | 2.32 | 65 | 11.6488 |
| 10.2809 | 2.5 | 70 | 11.6169 |
| 10.6538 | 2.68 | 75 | 11.5887 |
| 10.2451 | 2.86 | 80 | 11.5635 |
| 10.2671 | 3.04 | 85 | 11.5420 |
| 10.7256 | 3.21 | 90 | 11.5243 |
| 10.2996 | 3.39 | 95 | 11.5094 |
| 10.1658 | 3.57 | 100 | 11.4983 |
| 10.4609 | 3.75 | 105 | 11.4906 |
| 10.3872 | 3.93 | 110 | 11.4865 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
